Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm

Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

(2020) Himan Shahabi et al.   Remote Sensing

GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment

(2020) Binh Thai Pham et al.   Water

Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles

(2020) Romulus Costache et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

(2020) Viet-Nghia Nguyen et al.   Remote Sensing

A Novel hybrid Quantum-PSO and Credal Decision Tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data

(2020) Phuong-Thao Thi Ngo et al.   JOURNAL OF HYDROLOGY

Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms

(2019) Kamal Taheri et al.   LAND DEGRADATION & DEVELOPMENT

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

An evolutionary deep belief network extreme learning-based for breast cancer diagnosis

(2019) Somayeh Ronoud et al.   SOFT COMPUTING

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

(2019) Ataollah Shirzadi et al.   CATENA

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

(2019) Duie Tien Bui et al.   Remote Sensing

Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

(2019) Nohani et al.   Water

Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction

(2019) Nguyen et al.   Applied Sciences-Basel

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

(2019) Dieu Tien Bui et al.   CATENA

Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm

(2019) Yi Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Applicability evaluation of Landsat-8 for estimating low concentration colored dissolved organic matter in inland water

(2019) Jiang Chen et al.   Geocarto International

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

(2018) Binh Thai Pham et al.   International Journal of Sediment Research

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

(2018) Hossein Shafizadeh-Moghadam et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Method for Meteorological Early Warning of Precipitation-Induced Landslides Based on Deep Neural Network

(2018) Lu Huang et al.   NEURAL PROCESSING LETTERS

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

(2018) Khabat Khosravi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

(2018) Haoyuan Hong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

(2018) Seyed Vahid Razavi Termeh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

(2018) M. Ahmadlou et al.   Geocarto International

A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

(2018) Wei Chen et al.   Geocarto International

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

(2018) Dieu Tien Bui et al.   SENSORS

Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

(2018) Shaghayegh Miraki et al.   WATER RESOURCES MANAGEMENT

Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

(2018) Dieu Tien Bui et al.   Scientific Reports

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

(2018) Dieu Tien Bui et al.   Water

Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway

(2018) Liming Xiao et al.   SENSORS

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

(2018) Ataollah Shirzadi et al.   SENSORS

A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China

(2018) Yi Wang et al.   Remote Sensing

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

(2018) Binh Thai Pham et al.   CATENA

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

(2017) John E. Ball et al.   Journal of Applied Remote Sensing

Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing data to modelling

(2017) Calogero Schillaci et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessment of stream flood susceptibility: a cross-analysis between model results and flood losses

(2017) P.P. Santos et al.   Journal of Flood Risk Management

Predictability of state-level flood damage in the conterminous United States: the role of hazard, exposure and vulnerability

(2017) Qianqian Zhou et al.   Scientific Reports

Nested hybrid evolutionary model for traffic signal optimization

(2016) Sweta Srivastava et al.   APPLIED INTELLIGENCE

Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models

(2016) Khabat Khosravi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

(2016) Dieu Tien Bui et al.   JOURNAL OF HYDROLOGY

A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique

(2016) Khabat Khosravi et al.   NATURAL HAZARDS

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

(2016) Chen Cao et al.   Sustainability

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

(2015) Mahyat Shafapour Tehrany et al.   CATENA

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

(2015) Haoyuan Hong et al.   CATENA

Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm

(2015) Fardin Ahmadizar et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models

(2015) Ahmed M. Youssef et al.   Environmental Earth Sciences

Deep Belief Network Training Improvement Using Elite Samples Minimizing Free Energy

(2015) Mohammad Ali Keyvanrad et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Urban flood modeling with porous shallow-water equations: A case study of model errors in the presence of anisotropic porosity

(2015) Byunghyun Kim et al.   JOURNAL OF HYDROLOGY

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Forecasting exchange rate using deep belief networks and conjugate gradient method

(2015) Furao Shen et al.   NEUROCOMPUTING

Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece

(2015) Nerantzis Kazakis et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

(2015) Mahyat Shafapour Tehrany et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

(2015) Omid Rahmati et al.   Geocarto International

The impacts of climate change on river flood risk at the global scale

(2014) Nigel W. Arnell et al.   CLIMATIC CHANGE

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

(2014) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

Adapting naive Bayes tree for text classification

(2014) Shasha Wang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes

(2013) F. Mekanik et al.   JOURNAL OF HYDROLOGY

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

(2013) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

Improving real time flood forecasting using fuzzy inference system

(2013) Anil Kumar Lohani et al.   JOURNAL OF HYDROLOGY

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

Potential Stream Density in Mid-Atlantic U.S. Watersheds

(2013) Andrew J. Elmore et al.   PLoS One

A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran

(2012) Ataollah Shirzadi et al.   NATURAL HAZARDS

An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

(2011) Masoud Bakhtyari Kia et al.   Environmental Earth Sciences

Detection of Flood-Prone Areas Using Digital Elevation Models

(2011) Salvatore Manfreda et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Framework for economic pluvial flood risk assessment considering climate change effects and adaptation benefits

(2011) Q. Zhou et al.   JOURNAL OF HYDROLOGY

Penalized classification using Fisher's linear discriminant

(2011) Daniela M. Witten et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

GIS-based spatial prediction of landslide susceptibility using logistic regression model

(2011) Seyedeh Zohreh Mousavi et al.   Geomatics Natural Hazards & Risk

Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis

(2010) D.S. Fernández et al.   ENGINEERING GEOLOGY

Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya

(2010) Chandra Prakash Poudyal et al.   Environmental Earth Sciences

Characterisation of selected extreme flash floods in Europe and implications for flood risk management

(2010) L. Marchi et al.   JOURNAL OF HYDROLOGY

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

(2008) Nicolas Le Roux et al.   NEURAL COMPUTATION